Energy-Efficient SNN Implementation Using RRAM-Based Computation In-Memory (CIM)

Asmae El Arrassi, Anteneh Gebregiorgis, Anass El Haddadi, Said Hamdioui. Energy-Efficient SNN Implementation Using RRAM-Based Computation In-Memory (CIM). In 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, VLSI-SoC 2022, Patras, Greece, October 3-5, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{ArrassiGHH22,
  title = {Energy-Efficient SNN Implementation Using RRAM-Based Computation In-Memory (CIM)},
  author = {Asmae El Arrassi and Anteneh Gebregiorgis and Anass El Haddadi and Said Hamdioui},
  year = {2022},
  doi = {10.1109/VLSI-SoC54400.2022.9939654},
  url = {https://doi.org/10.1109/VLSI-SoC54400.2022.9939654},
  researchr = {https://researchr.org/publication/ArrassiGHH22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, VLSI-SoC 2022, Patras, Greece, October 3-5, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9005-4},
}